{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from nebula2networkx import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": "client: 54 authenticate succeed\ndo execute use nba\n"
    }
   ],
   "source": [
    "g_ip = '127.0.0.1'\n",
    "g_port = 3699\n",
    "\n",
    "# init connection pool\n",
    "connection_pool = ConnectionPool(g_ip, g_port)\n",
    "G = nx.MultiDiGraph()\n",
    "client = GraphClient(connection_pool)\n",
    "auth_resp = client.authenticate('user', 'password')\n",
    "\n",
    "if auth_resp.error_code:\n",
    "    raise AuthException(\"Auth failed\")\n",
    "nebula2networkx(client, 'nba', G, [100], ['follow', 'serve'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "nx.draw(G, with_labels=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "{\"b'VertexID'\": 100, \"name'\": 'Tim Duncan', \"age'\": 42}"
     },
     "metadata": {},
     "execution_count": 18
    }
   ],
   "source": [
    "G.nodes[100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "AdjacencyView({101: {0: {\"_src'\": 100, \"_dst'\": 101, \"_rank'\": 0, \"degree'\": 95}}, 125: {0: {\"_src'\": 100, \"_dst'\": 125, \"_rank'\": 0, \"degree'\": 95}}, 204: {0: {\"_src'\": 100, \"_dst'\": 204, \"_rank'\": 0, \"start_year'\": 1997, \"end_year'\": 2016}}})"
     },
     "metadata": {},
     "execution_count": 19
    }
   ],
   "source": [
    "G[100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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